.. _l-onnx-op-sqrt-d1-13:

Sqrt - 1 vs 13
==============

Next section compares an older to a newer version of the same operator 
after both definition are converted into markdown text.
Green means an addition to the newer version, red means a deletion.
Anything else is unchanged.

.. raw:: html


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    --- a/Sqrt1
    +++ b/Sqrt13
    @@ -1 +1 @@
      Square root takes one input data (Tensor<T>) and produces one output data
      (Tensor<T>) where the square root is, y = x^0.5, is applied to
      the tensor elementwise. If x is negative, then it will return NaN.
    - 
    - ### Attributes
    - 
    - * **consumed_inputs - INTS** :
    - 
    -   legacy optimization attribute.
  
      ### Inputs
  
      - **X** (heterogeneous) - **T**:
  
        Input tensor
  
      ### Outputs
  
      - **Y** (heterogeneous) - **T**:
  
        Output tensor
  
      ### Type Constraints
  
    - * **T** in ( tensor(double), tensor(float), tensor(float16) ):
    + * **T** in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16) ):
    ?             ++++++++++++++++++
  
        Constrain input and output types to float tensors.
    `;

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